milvus-io/milvus-model

A library integrating embedding and reranker models from OpenAI, SentenceTransformers etc for semantic search in vector database.

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Established

This library helps developers enhance the semantic search capabilities of their Milvus vector database applications. It allows you to integrate various text embedding and reranking models from providers like OpenAI and Cohere, or open-source options, to process textual data. The output is a more accurate and relevant search experience for end-users of AI applications built on Milvus.

No commits in the last 6 months. Available on PyPI.

Use this if you are a developer building AI applications with Milvus and need to integrate external or open-source models for generating text embeddings or reranking search results.

Not ideal if you are not a developer working with the Milvus vector database, as this is a library for integration within that specific ecosystem.

semantic-search vector-databases AI-application-development information-retrieval machine-learning-engineering
Stale 6m
Maintenance 0 / 25
Adoption 8 / 25
Maturity 25 / 25
Community 20 / 25

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Stars

59

Forks

30

Language

Python

License

Apache-2.0

Last pushed

Mar 31, 2025

Commits (30d)

0

Dependencies

5

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